activity
20062026
most citedAsymptotic theory of semiparametric -estimators for stochastic processes with applications to ergodic diffusions and time series

10 citations · 17 across the 13 of their papers we have counts for

collaborators

14 papers

stat.ME2026

Oracle high-dimensional -estimation using smooth reparameterization for sparsity

Yoichi Nishiyama

This paper establishes a unified non-linear regularization framework for high-dimensional -estimation, encompassing both linear models and Cox's proportional hazards models. Rat…

math.PR2026

From -domination maximal inequalities to infinite-dimensional martingales, towards high-dimensional statistics

Yoichi Nishiyama

A novel approach is proposed to establish a sharp upper bound on the expected supremum of a separable martingale random field, serving as an alternative to classical universal chai…

stat.CO2021

On rank statistics of PageRank and MarkovRank

Yoichi Nishiyama

The well-known statistic PageRank was created in 1998 by co-founders of Google, Sergey Brin and Larry Page, to optimize the ranking of websites for their search engine outcomes. It…

math.ST2020

Change point detection based on method of moment estimators

Ilia Negri, Yoichi Nishiyama

A change point detection procedure using the method of moment estimators is proposed. The test statistics is based on a suitable -process. The asymptotic behavior of this proces…

math.PR2020

From a stochastic maximal inequality to infinite-dimensional martingales

Yoichi Nishiyama

As an alternative to the well-known methods of "chaining" and "bracketing" that have been developed in the study of random fields, a new method, which is based on a stochastic maxi…

math.ST2018

Weak convergences of marked empirical processes in a Hilbert space and their applications

Koji Tsukuda, Yoichi Nishiyama

In this paper, weak convergences of marked empirical processes in and their applications to statistical goodness-of-fit tests are provided, where $L^2(\mathbb{R…